Mohammed Algabri

Orcid: 0000-0001-7962-8121

According to our database1, Mohammed Algabri authored at least 16 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Facilitating the communication with deaf people: Building a largest Saudi sign language dataset.
J. King Saud Univ. Comput. Inf. Sci., September, 2023

Enabling Two-Way Communication of Deaf Using Saudi Sign Language.
IEEE Access, 2023

2022
Spatial Attention-Based 3D Graph Convolutional Neural Network for Sign Language Recognition.
Sensors, 2022

2021
Deep Learning-Based Detection of Articulatory Features in Arabic and English Speech.
Sensors, 2021

A Time-Series-Based New Behavior Trace Model for Crowd Workers That Ensures Quality Annotation.
Sensors, 2021

Electroencephalography-based motor imagery classification using temporal convolutional network fusion.
Biomed. Signal Process. Control., 2021

An Incremental Approach to Corpus Design and Construction: Application to a Large Contemporary Saudi Corpus.
IEEE Access, 2021

Arabic Sign Language Recognition System Using 2D Hands and Body Skeleton Data.
IEEE Access, 2021

2020
Deep Learning and Computer Vision for Estimating Date Fruits Type, Maturity Level, and Weight.
IEEE Access, 2020

Towards Deep Object Detection Techniques for Phoneme Recognition.
IEEE Access, 2020

2018
Human Expertise in Mobile Robot Navigation.
IEEE Access, 2018

2017
Automatic Speaker Recognition for Mobile Forensic Applications.
Mob. Inf. Syst., 2017

Wireless vision-based fuzzy controllers for moving object tracking using a quadcopter.
Int. J. Distributed Sens. Networks, 2017

2016
An autonomous stereovision-based navigation system (ASNS) for mobile robots.
Intell. Serv. Robotics, 2016

2015
Comparative study of soft computing techniques for mobile robot navigation in an unknown environment.
Comput. Hum. Behav., 2015

2014
Self-learning Mobile Robot Navigation in Unknown Environment Using Evolutionary Learning.
J. Univers. Comput. Sci., 2014


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